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Identifying Selectivity Filters in Protein Biosensor for Ligand Screening
Open accessPublished version of a preprint
Abstract
Specialized sensing mechanisms in bacteria enable the identification of cognate ligands with remarkable selectivity in highly xenobiotic-polluted environments where these ligands are utilized as energy sources. Here, via integrating all-atom computer simulation, biochemical assay, and isothermal titration calorimetry measurements, we determine the molecular basis of MopR, a phenol biosensor's complex selection process of ligand entry. Our results reveal a set of strategically placed selectivity filters along the ligand entry pathway of MopR. These filters act as checkpoints, screening diverse aromatic ligands at the protein surface based on their chemical features and sizes. Ligands meeting specific criteria are allowed to enter the sensing site in an orientation-dependent manner. Sequence and structural analyses demonstrate the conservation of this ligand entry mechanism across the sensor class, with individual amino acids along the selectivity filter path playing a critical role in ligand selection. Together, this investigation highlights the importance of interactions with the ligand entry pathway, in addition to interactions within the binding pocket, in achieving ligand selectivity in biological sensing. The findings enhance our understanding of ligand selectivity in bacterial phenol biosensors and provide insights for rational expansion of the biosensor repertoire, particularly for the biotechnologically relevant class of aromatic pollutants.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Markov state models of biomolecular conformational dynamics
Chodera, J. D., & Noé, F. (2014) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2014.04.002 · Cited by 776
Open-to-closed transition in apo maltose-binding protein observed by paramagnetic NMR
Tang, C., Schwieters, C. D., & Clore, G. M. (2007) · Nature · doi:10.1038/nature06232 · Cited by 416
Flagged first, then by citations
Research works printed but not linked: 67
- 10.1128/MMBR.00006-12 · DOI
- 10.1126/science.aab1478 · DOI
- 10.1128/JB.185.6.1757-1767.2003 · DOI
- 10.1126/science.1121357 · DOI
- 10.1016/j.bbamcr.2011.08.012 · DOI
- 10.1128/MMBR.68.3.474-500.2004 · DOI
- 10.1016/j.tim.2007.09.008 · DOI
- 10.1046/j.1365-2958.1996.388920.x · DOI
- 10.1111/j.1574-6976.2010.00255.x · DOI
- 10.1038/s41467-020-16562-5 · DOI
- 10.1128/jb.179.4.1329-1336.1997 · DOI
- 10.1016/S0168-1656(03)00122-6 · DOI
- 10.1021/acschembio.6b00020 · DOI
- 10.1016/j.str.2016.03.006 · DOI
- 10.1021/acssensors.6b00843 · DOI
- 10.1021/acssensors.8b00190 · DOI
- 10.1021/acssensors.1c00329 · DOI
- 10.1021/acs.analchem.8b01130 · DOI
- 10.1038/s41467-021-27911-3 · DOI
- 10.1021/acs.jcim.9b00497 · DOI
- 10.1021/jacs.6b01232 · DOI
- 10.1021/acs.accounts.5b00516 · DOI
- 10.1038/s41467-017-01310-z · DOI
- 10.1016/j.bpj.2015.06.059 · DOI
- 10.1021/jacs.8b10840 · DOI
- 10.1371/journal.pcbi.1006180 · DOI
- 10.1038/nmeth.4067 · DOI
- 10.1016/S0006-3495(98)77529-0 · DOI
- 10.1021/jp026686u · DOI
- 10.1063/1.3565032 · DOI · Paper page
- 10.1016/j.jbc.2022.102399 · DOI
- 10.1073/pnas.1114017109 · DOI
- 10.1002/j.1460-2075.1991.tb08056.x · DOI
- 10.3390/ijms17020144 · DOI
- 10.1128/JB.182.2.405-417.2000 · DOI
- 10.1002/jcc.21600 · DOI
- 10.1016/j.bpj.2021.02.040 · DOI · Paper page
- Wollenberger U., 2008, Phenolic biosensors, 10.1002/9780470753842.ch6 · DOI
- 10.1002/elan.202100271 · DOI
- 10.1002/celc.202200861 · DOI
- 10.1002/anie.201808846 · DOI
- 10.1002/anie.202201266 · DOI
- 10.1002/ange.201910772 · DOI
- 10.1021/acs.jctc.5b00935 · DOI
- 10.1063/1.3428381 · DOI
- 10.1063/1.445869 · DOI
- 10.1080/00268978400101201 · DOI
- 10.1103/PhysRevA.31.1695 · DOI
- 10.1063/1.328693 · DOI
- 10.1063/1.464397 · DOI
- 10.1016/j.cpc.2013.06.003 · DOI
- 10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-H · DOI
- 10.1002/jcc.540130805 · DOI
- 10.1016/j.ymeth.2010.06.002 · DOI · Paper page
- 10.1021/acs.jctc.5b00743 · DOI
- 10.1103/PhysRevLett.72.3634 · DOI · Paper page
- 10.1109/TIT.1982.1056489 · DOI · Paper page
- 10.1016/S0024-3795(00)00095-1 · DOI
- 10.1137/070699500 · DOI
- 10.1016/0021-9991(77)90121-8 · DOI · Paper page
- 10.1002/jcc.540130812 · DOI · Paper page
- 10.1021/jp204407d · DOI
- 10.1021/acs.jpcb.9b02883 · DOI
- Aldeghi, M.; Bluck, J. P.; Biggin, P. C. Computational Drug Discovery and Design ; Springer, 2018; pp 199–232. · DOI
- 10.1002/jcc.23804 · DOI
- 10.1016/0021-9991(76)90078-4 · DOI
- 10.1081/RRS-120037896 · DOI
Metadata
- Authors
- Sahil, M., Singh, J., Sahu, S., Pal, S. K., Yadav, A., Anand, R., & Mondal, J.
- Affiliations
- Tata Institute of Fundamental Research (IN)
- Indian Institute of Technology Bombay (IN)
- Corresponding author
- Anand, Ruchi
- Mondal, Jagannath
- Venue
- JACS Au
- Publisher
- American Chemical Society (ACS)
- Published
- 2023-09-18
- Volume
- 3
- Issue
- 10
- Pages
- 2800-2812
- ISSN
- 2691-3704 (ISSN-L)
- PMC
- PMC10598577
- OpenAlex
- W4386827409
- Cited by
- 6
- References
- 3
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3
- FWCI
- 0.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- JACS Au (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Department of Atomic Energy, Government of India (RTI 4007)
- Department of Science and Technology, Ministry of Science and Technology, India (DST/TMD-EWO/WTI/2K19/EWFH/2019/48(G))
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › bioluminescence and chemiluminescence research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- ligand selectivity, selectivity filter, bacterial chemotaxis, ligand screening, aromatic pollutants, protein-ligand interactions
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